GLM.hessian()

statsmodels.genmod.generalized_linear_model.GLM.hessian

GLM.hessian(params, scale=None, observed=True) [source]

Hessian, second derivative of loglikelihood function

Parameters:	params : ndarray parameter at which Hessian is evaluated scale : None or float If scale is None, then the default scale will be calculated. Default scale is defined by self.scaletype and set in fit. If scale is not None, then it is used as a fixed scale. observed : bool If True, then the observed Hessian is returned. If false then the expected information matrix is returned.
Returns:	hessian : ndarray Hessian, i.e. observed information, or expected information matrix.